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SECRETA: A System for Evaluating and Comparing RElational and Transaction Anonymization algorithms

Poulis, Giorgos, Gkoulalas-Divanis, Aris, Loukides, Grigorios ORCID:, Skiadopoulos, Spiros and Tryfonopoulos, Christos 2014. SECRETA: A System for Evaluating and Comparing RElational and Transaction Anonymization algorithms. Presented at: EDBT/ICDT 2014 Joint Conference, Athens, Greece, 24-28 March 2014. Published in: Amer-Yahia, S., Christophides, V., Kementsietsidis, A., Garofalakis, M., Idreos, S. and Leroy, V. eds. Proceeding of the 17th International Conference on Extending Database Technology (EDBT 2014). Konstanz:, University of Konstanz, pp. 620-623. 10.5441/002/edbt.2014.58

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Publishing data about individuals, in a privacy-preserving way, has led to a large body of research. Meanwhile, algorithms for anonymizing datasets, with relational or transaction attributes, that preserve data truthfulness, have attracted significant interest from organizations. However, selecting the most appropriate algorithm is still far from trivial, and tools that assist data publishers in this task are needed. In response, we develop SECRETA, a system for analyzing the effectiveness and efficiency of anonymization algorithms. Our system allows data publishers to evaluate a specific algorithm, compare multiple algorithms, and combine algorithms for anonymizing datasets with both relational and transaction attributes. The analysis of the algorithm(s) is performed, in an interactive and progressive way, and results, including attribute statistics and various data utility indicators, are summarized and presented graphically.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:, University of Konstanz
ISBN: 9783893180653
Related URLs:
Date of First Compliant Deposit: 30 March 2016
Last Modified: 25 Oct 2022 09:38

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